Triple
T22166825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermann Sudermann |
E547811
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Matzicken |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matzicken | Statement: [Hermann Sudermann, placeOfBirth, Matzicken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matzicken Context triple: [Hermann Sudermann, placeOfBirth, Matzicken]
-
A.
Sücka
Sücka is a small village in the municipality of Triesenberg in Liechtenstein, known for its alpine setting and traditional rural character.
-
B.
Eichigt
chosen
Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
-
C.
Murzasichle
Murzasichle is a picturesque village in southern Poland, known for its traditional highlander culture and scenic location near the Tatra Mountains.
-
D.
Muhr
Muhr is a small Austrian municipality located in the mountainous Lungau region of the state of Salzburg.
-
E.
Mateszalka
Mateszalka is a town in northeastern Hungary known as a local administrative and cultural center in the Szabolcs-Szatmár-Bereg region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.